Group items tagged

China has fired the president of Tianjin Port Group and plans to prosecute him for dereliction of duty, state media said on Wednesday, almost three months after huge chemical blasts at the northern port managed by the firm killed more than 160 people.

China has fired the president of Tianjin Port Group and plans to prosecute him for dereliction of duty, state media said on Wednesday, almost three months after huge chemical blasts at the northern port managed by the firm killed more than 160 people.

China approves Tianjin Port expansion.

China: Drone reveals devastated Tianjin blasts site.

China Ocean Shipping (Group) Company said its ships anchored at Tianjin port were not affected by the blasts at a warehouse in the country's northeastern city last week, though some of its facilities in the area suffered varying levels of damage.

All oil, chemical and LPG berths are closed at Tianjin Port following a huge explosion on Wednesday evening that caused widespread devastation.

Major disruptions continue at Tianjin Port.

Major disruptions continue at Tianjin Port.

Tianjin: 4 Berths, 1 Million Passengers in Sight.

Tianjin Targeting 800,000 Passengers in 2017.

SIGNIFICANT disruption of onshore operations and port shipping traffic is likely in the wake of massive explosions near Tianjin port late Wednesday, which left at least 44 people dead.

The escalating greenhouse gas (GHG) emissions from maritime trade present a serious environmental and biological threat. With increasing emission reduction initiatives, such as the European Union's incorporation of the maritime sector into the emissions trading system, both challenges and opportunities emerge for maritime transport and associated industries. To address these concerns, this study presents a model specifically designed for estimating and projecting the spatiotemporal GHG emission inventory of ships, particularly when dealing with incomplete automatic identification system datasets. In the computational aspect of the model, various data processing techniques are employed to rectify inaccuracies arising from incomplete or erroneous AIS data, including big data cleaning, ship trajectory aggregation, multi-source spatiotemporal data fusion and missing data complementation. Utilizing a bottom-up ship dynamic approach, the model generates a high-resolution GHG emission inventory. This inventory contains key attributes such as the types of ships emitting GHGs, the locations of these emissions, the time periods during which emissions occur, and emissions. For predictive analytics, the model utilizes temporal fusion transformers equipped with the attention mechanism to accurately forecast the critical emission parameters, including emission locations, time frames, and quantities. Focusing on the sea area around Tianjin port-a region characterized by high shipping activity-this study achieves fine-grained emission source tracking via detailed emission inventory calculations. Moreover, the prediction model achieves a promising loss function of approximately 0.15 under the optimal parameter configuration, obtaining a better result than recurrent neural network (RNN) and long short-term memory network (LSTM) in the comparative experiments. The proposed method allows for a comprehensive understanding of emission patterns across diverse vessel types under vari

Two container vessels collided in Eastern China.

China's port authorities will strengthen supervision of dangerous goods shipments following devastating explosions at Tianjin port last week, the Ministry of Transport said on Wednesday.

Three Chinese Container Terminals to Merge.